Intelligent Remote Speed Control of Foresight Trucks with Driver Interface
Nwagboso, Christopher Rendell, Nick Rangwala, Noman
Nwagboso, Christopher
Rendell, Nick
Rangwala, Noman
Editors
Other contributors
Affiliation
Epub Date
Issue Date
2002
Submitted date
Alternative
Abstract
The paper presents a road-to-vehicle based speed adaptation system that was prototyped and tested with Siemens-VDO in Germany and UK. Various researches have shown those vehicles travelling at excessive speed are more likely to cause an accident. In UK, an estimated 1,200 fatalities per year on the roads can be attributed to inappropriate vehicle speed. It is believed that if it were possible to control vehicle speed within the legally accepted limits, on the road, the number and severity of these fatalities would be greatly reduced. Therefore, there is a need to develop methods of externally or remotely controlling or adapting vehicle speed limits. One method of affecting the necessary speed limits would be through the development of intelligent remote speed control system that employs the technologies of Intelligent Transport System that focuses on infrastructure - vehicle - infrastructure communication. An intelligent methodology is needed to integrate the technologies, the driver and the vehicle in order to start to address some of the concerns of deploying the systems. This paper presents a brief description of the technologies and a new method of integrating the driver in the decision process of an Intelligent Speed Adaptation system for trucks. A "chain-speed'' adaptation model is described. An experimental truck with the speed control is also presented. (SAE International)
Citation
SAE Technical Papers, Document Number: 2002-01-0825
Publisher
Journal
Research Unit
DOI
PubMed ID
PubMed Central ID
Embedded videos
Additional Links
Type
Conference contribution
Language
en
Description
This paper was presented at SAE 2002 World Congress & Exhibition, March 2002, Detroit, MI, USA, Session: Foresight Vehicle Technology - ITS Technology/Design Technology (Part E&F).
Series/Report no.
ISSN
0148-7191